Anurag Kumar

Title of the Talk:
Closing the Business–Engineering Gap with Agentic AI in Modern SDLC

Abstract of the Talk:
The increasing complexity of enterprise software systems has intensified the challenges of translating business requirements into reliable engineering solutions. This keynote presents an AI-driven, agentic framework designed to transform requirements engineering within the Software Development Life Cycle (SDLC). The approach integrates structured validation mechanisms with autonomous AI agents to convert unstructured business inputs into complete, verifiable, and implementation-ready artifacts. The framework introduces a dual-agent architecture consisting of an Analysis Agent and a Solution Design Agent. The Analysis Agent systematically decomposes requirements, detects ambiguities, and enforces completeness using a predefined validation questionnaire, significantly reducing iterative clarification cycles between business and engineering teams.

Bio:
Anurag Kumar is a Technical Program and an IEEE Senior Member with 18+ years of experience in AI, cloud computing, and enterprise automation. He leads large-scale digital transformation programs, specializing in AI-driven SDLC optimization, platform modernization, and cross-functional delivery to drive business impact and operational excellence.